Objective To explore the impact of quarantine experiences on the public’s perceived infection risk and expectations following the shift in coronavirus disease 2019 (COVID-19) policy. Methods From December 7 to 10, 2022, an online questionnaire survey was conducted to collect data on respondents’ past quarantine experiences and their perceived infection risk and expectations after the relaxation of COVID-19 restrictions. Independent-samples t-tests and multiple linear regression analysis were used to examine the effect of quarantine experience on the public’s perceived infection risk and expectations. Results A total of 570 valid questionnaires were collected. Among the 570 respondents, 377 had quarantine experience. Those who had experienced quarantine reported a significantly higher perceived risk of COVID-19 infection than those who had not (3.07±1.28 vs. 2.77±1.23, P=0.007). Multiple linear regression analysis showed that quarantine experience [unstandardized partial regression coefficient (b)=0.278, 95% confidence interval (CI) (0.069, 0.487), P=0.009] and attitude change [b=0.319, 95%CI (0.251, 0.388), P<0.001] were significant influencing factors of perceived infection risk. Conclusions After the shift in COVID-19 policy, quarantine experience has a significant impact on the public’s perceived infection risk and expectations. Respondents with quarantine experiences have a higher perceived risk of contracting the virus and more pessimistic expectations.
When a clustered coronavirus disease 2019 epidemic occurs, how to prevent and control hospital infection is a challenge faced by each medical institution. Under the normalization situation, building an effective prevention and control system is the premise and foundation for medical institutions to effectively prevent and control infection when dealing with clustered epidemics. According to the principles of control theory, medical institutions should quickly switch to an emergency state, and effectively deal with the external and internal infection risks brought by clustered epidemics by strengthening source control measures, engineering control measures, management control measures and personal protection measures. This article summarizes the experience of handling clustered outbreaks in medical institutions in the prevention and control of coronavirus disease 2019, and aims to provide a reference for medical institutions to take effective prevention and control measures when dealing with clustered outbreaks.
Taking the actual situation of the undergraduate medical education in West China School of Medicine, Sichuan University as the real-world reference, combining with literature review, this article analyzes the internal strengths and weaknesses, as well as the external opportunities and threats of the novel teaching system in medical education which combines the online-merge-offline (OMO) approach with inquiry-small class model, and provides deep insights into the opportunities and challenges of the teaching system after matching the influential factors based on the SWOT-CLPV matrix model. Based on these analyses, this article discusses the application of the teaching system combining the OMO approach with inquiry-small class model in medical education in the post-epidemic era, so as to provide a reference and guidance for further popularizing the teaching model and enhancing the quality of medical education to a new level.
Objective To summarize the experience of epidemic prevention in order to offer the first-hand data for reconstruction after the earthquake and epidemic control and prevention in the active seismic zone. Method We collected and analyzed the data of epidemic control and prevention and summarized their strengths and weaknesses. Results Of the 13 counties in Aba Prefecture, 12 were affl icted with 2 worst-hit counties and 5 worse-hit disaster areas. A total of 20 233 people were dead and 7 873 people were missing. Health system was severely damaged. Aba Center of Disease Control and Prevention started the contingency plan and sent 4 epidemic prevention teams to the disaster areas. With the combination of local materials and external aids, the epidemic prevention network of county, township and village was established. (1) Environment cleaning and el imination: up to August 27, 2008, 2 591 group times of teams involving 88 298 person times and 5 294 set times of vehicles were allocated. Disinfection area covered 18 181.3 m2 including 14 132 dumps, 33 271 cesspits and 154 391 breeding grounds of mosquitoes, fl ies and mice. (2) Critical supervision for the safety of drinking water and food: up to June 20, 21 central ized and 1 032 dispersed water supply sources were restored. We monitored 829 drinking water samples, among which 594 were qual ified with the qual ified rate of 66.59%. (3) A total of 86 396 people were resettled in 17 temporary sites. (4) Wild dogs were killed in Kala-azar epidemic areas. Mosquitoes, flies and mice were supervised once a week. (5) Disease supervision: A total of 762 cases in 15 legal infectious diseases were found within 90 days after the earthquake, and no death was found. No outbreak of infectious epidemic situations and burst publ ic health events was reported. A total of 57 157 Hepatitis A vaccinations were inoculated in the children aged from 18 months to 12 years old and 16 268 in children aged from 13 to 16 years old, medical staff, mil itary personnel and first-l ine workers. A total of 4 435 Japanese encephal itis vaccinations were inoculated in people in Xiaojin county. On June 15, routine inoculation cl inic recovered and on July 1, expansive inoculation was started on schedule. Conclusion Phased victory is gained in epidemic control and prevention in Aba Prefecture, although it is only a latter-wit. It is suggested that a long-term system of the earthquake disaster as well as human and environmental protection should be reconsidered through the first-hand data of anti-epidemic measures of the Wenchuan earthquake.
Objective To design a nucleic acid information early warning system and evaluate the effect of the application. Methods 60 nurses working in the clinical department of Zhongnan Hospital of Wuhan University from August to October 2021 were selected by convenient sampling method, and the included nurses were divided into experimental group and control group. The experimental group used the nucleic acid information early warning system, and the control group used the nucleic acid registration in a common way. Statistical duration of the nucleic acid information, nucleic acid leakage detection rate and nurses job satisfaction after application were compared between the two groups. Results After the application of nucleic acid information early warning system, compared with the control group, the statistical duration of the nucleic acid information in the experimental group was shortened [(2.0±0.4) vs. (3.8±0.7) min; t=25.827, P<0.001], nucleic acid leakage detection rate decreased [1.4% vs. 6.9%; P=0.019]. The job satisfaction of the experimental group was higher than that of the control group (P<0.001). Conclusions Applying the nucleic acid information early warning system could reduce statistical duration of the nucleic acid information, nucleic acid leakage detection rate and improve nurses job satisfaction and work experience. It will provide reference and basis for medical institutions to normalize the management of nucleic acid prevention and control in medical institutions.
In the Spring Festival of 2020, China waged an unexpected battle against coronavirus disease 2019. Within the scope of constructing smart hospitals, it has become a brand-new subject concerning how the construction can facilitate the scientific prevention and control of the epidemic. According to the development direction, basing on the concept of “patient-centered” medical services, and combining with the construction ideas of traditional medical information products and emerging technologies, Guangdong Provincial People’s Hospital, as the first government-leading “demonstration hospital for 5G application”, was fully dedicated to promoting the mode of contactless diagnosis and treatment and providing smart medical information service, thereby setting up a “scientific and technological firewall against the epidemic”.
With the range of application of computational biology and systems biology gradually expanding, the complexity of the bioprocess models is also increased. To address this difficult problem, it is required to introduce positive alternative analysis method to cope with it. Taking the dynamic model of the epidemic control process as research object, we established an evaluation model in our laboratory. Firstly, the model was solved with nonlinear programming method. The results were shown to be good. Based on biochemical systems theory, the ODE dynamic model was transformed into S-system. The eigen values of the model showed that the system was stable and contained oscillation phenomenon. Next the sensitivities of rate constant and logarithmic gains of the three key parameters were analyzed, as well as the robust of the system. The result indicated that the biochemical systems theory could be applied in different fields more widely.
Objective To understand the impact of an infection risk control measures implemented in the non-clinical areas of a hospital on the visitors during the coronavirus disease 2019 (COVID-19) epidemic period, in an attempt to provide scientific evidence for the improvement and optimization of subsequent prevention and control measures. Methods The convenience sampling method was used to investigate and analyze all the personnel who came to the hospital for treatment or work on February 22, 2020. Collect the influence of the personnel coming to the hospital on the sense of security, medical behavior (work) and the acceptance of the measures arising from the implementation of infection control measures such as sub-regional management of people and vehicles, body temperature screening during admission, and sub-channel management of hospital visitors in the non-clinical areas of the hospital. ResultsA total of 1 098 patients/family members were included. 70.13% (770/1 098) of the patients/family members thought that visiting the hospital during the COVID-19 epidemic would make them feel uneasy; 90.26% (991/1 098) of the patients/family members could accept the body temperature screening during admission, 96.99% (1 065 / 1 098) of the patients/family members could accept the sub-regional management of people and vehicles, and 100.00% (1 098/1 098) of the patients/family members could accept the sub-channel management of hospital visitors in the non-clinical areas of the hospital; 71.22% (782/1 098) of the patients/family members thought that the peripheral prevention and control measures had increased the sense of security in medical treatment, and they would continue to choose this hospital for the next time if necessary. A total of 2 543 employees were included. 37.55% (955/2543) of the employees felt uneasy because they were afraid of being infected in the hospital; 93.12% (2 368/2 543) of the employees could accept the establishment of a dedicated channel for staff admission, 99.25% (2 524/2 543) of the employees could accept the temperature screening at the entrance of the dedicated channel, and 97.48% (2 479/2 543) of the employees could accept the subregional management measures. 82.54% (2 099/2 543) of the employees thought that the peripheral prevention and control measures would not affect their work. Conclusions Implementing a series of prevention and control measures in the non-clinical areas during the emergency response state can improve the sense of security of the patients, family members of the patients and employees who come to the hospital to some extent. In the future, measures such as strengthening publicity and education, improving facilities, perfecting the planning and design, providing the complete information, and strengthening supervision, can be taken to further optimize the risk control of infection in non-clinical areas and improve the acceptance of personnel coming to the hospital.
ObjectiveBy summarizing the clinical characteristics of perioperative patients with cross infection of novel coronavirus in thoracic surgery ward, to guide the prevention and treatment of nosocomial infection during the anti-epidemic period.MethodsThe clinical data of 451 patients with chest diseases in the Department of Thoracic Surgery of Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology from January 1st to 24th, 2020 were analyzed and followed up. There were 245 surgical patients and 206 non-surgical patients.ResultsIn the department, 7 patients (7/451, 1.55%) were infected with the novel coronavirus and all of them were surgical patients, whose preoperative imaging data did not reveal the imaging changes of novel coronavirus. There were 5 males and 2 females, aged 56 to 68 years. The patients with old age, smoking, surgery, coronary heart disease, chronic liver disease and tumor history were more susceptible to infection. From the spatial distribution of patient beds, it was found that the distance among infected patients was greater than 1 m, and no cross infection was found in the other patients of the same ward. During follow-up, two family members of noninfected patients were found to be infected one week after discharge. However, there was no overlap of spatiotemporal distribution between the family members and the infected patients during the hospitalization period.ConclusionThe novel coronavirus pneumonia rate in the department of thoracic surgery is low, which may be opportunistic infection. At the same time, a good control and prevention of epidemic disease can reduce the occurrence of cross infection in the department of thoracic surgery.
The coronavirus disease 2019 (COVID-19) epidemic has had a serious impact in the world. In the absence of vaccines and therapeutic drugs, disinfection has become an important technical means to block the spread of the virus. By analyzing the characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), we studied a series of disinfection technologies for COVID-19. During the outbreak of COVID-19, Jinan Second Center for Disease Control and Prevention disinfected the houses of the cases to be investigated in a community. The effectiveness of the disinfection technology was verified through the process of disinfection preparation, sampling before disinfection, field disinfection, sampling after disinfection and evaluation of disinfection effect. Compared the data before and after disinfection, the killing rate of the total bacterial colonies in the air and on the surface of the object was more than or equal to 90%, and no SARS-CoV-2 was detected after disinfection. The results show that the disinfection effect of the disinfection technology meets the standard. Finally, through the analysis of the wrong way of disinfection and the harm of over disinfection, the importance of scientific disinfection and precise disinfection are emphasized, and the research has a good guiding value for prevention and control of the epidemic.